Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project

Due to the heterogeneity of existing European sources of observational healthcare data, data source-tailored choices are needed to execute multi-data source, multi-national epidemiological studies. This makes transparent documentation paramount. In this proof-of-concept study, a novel standard data...

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Detalles Bibliográficos
Autores principales: Roberto, Giuseppe, Leal, Ingrid, Sattar, Naveed, Loomis, A. Katrina, Avillach, Paul, Egger, Peter, van Wijngaarden, Rients, Ansell, David, Reisberg, Sulev, Tammesoo, Mari-Liis, Alavere, Helene, Pasqua, Alessandro, Pedersen, Lars, Cunningham, James, Tramontan, Lara, Mayer, Miguel A., Herings, Ron, Coloma, Preciosa, Lapi, Francesco, Sturkenboom, Miriam, van der Lei, Johan, Schuemie, Martijn J., Rijnbeek, Peter, Gini, Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006970/
https://www.ncbi.nlm.nih.gov/pubmed/27580049
http://dx.doi.org/10.1371/journal.pone.0160648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006970/
https://www.ncbi.nlm.nih.gov/pubmed/27580049
http://dx.doi.org/10.1371/journal.pone.0160648

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